A system comprising a machine-readable storage medium storing at least one program and a computer-implemented method for collecting body measurements of a human user using a body measurement garment is provided. The body measurement garment comprises a plurality of sensors configured to produce a set of output data. The method may include receiving the set of output data from the body measurement garment and determining a plurality of body measurements from the output data. The method may further include generating a body shape model representing the shape of the body of the user. The method may also include generating a garment fit model representing the fit of a garment on the human user.
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2. The method of claim 1, wherein the tightness corresponds to an amount of pressure exerted by the body measurement garment on the user at the plurality of different regions.
A method for monitoring body measurements using a garment involves determining the tightness of the garment at multiple regions of the user's body. The tightness corresponds to the amount of pressure exerted by the garment on the user at each of these regions. The garment includes sensors that detect pressure or strain, which is then processed to calculate the tightness. This method allows for real-time or periodic assessment of how well the garment fits the user, ensuring comfort and accuracy in body measurements. The system may also adjust the garment's tightness dynamically based on the detected pressure to maintain optimal fit. This approach is useful in applications such as medical monitoring, fitness tracking, or custom apparel fitting, where precise and adaptive measurements are required. The method ensures that the garment remains snug enough to provide accurate data without causing discomfort.
3. The method of claim 1, wherein the tightness includes an indication of one or more of the plurality of different regions of the body measurement garment that exceed a predefined threshold for tightness.
A body measurement garment system includes a garment with multiple regions, each equipped with sensors to detect tightness. The system monitors tightness across these regions and identifies areas where the tightness exceeds a predefined threshold. This helps ensure the garment fits properly and provides accurate measurements. The system may also include a processor that analyzes sensor data to determine tightness levels and generate alerts or adjustments when thresholds are exceeded. The garment may be adjustable to modify tightness in specific regions based on the detected measurements. This technology addresses the problem of inconsistent fit in body measurement garments, which can lead to inaccurate measurements and discomfort. By detecting and alerting users to overly tight regions, the system improves measurement accuracy and user comfort. The sensors may be distributed across the garment to monitor tightness in multiple areas simultaneously, providing comprehensive feedback. The predefined threshold ensures that tightness remains within acceptable limits for both comfort and measurement reliability. The system may also include a user interface to display tightness data and guide adjustments. This approach enhances the functionality of body measurement garments, making them more reliable for applications such as health monitoring, fitness tracking, and medical assessments.
4. The method of claim 1, wherein the tightness includes an indication of one or more of the plurality of different regions of the body measurement garment that are below a predefined threshold for looseness.
A body measurement garment system includes a garment with multiple sensors distributed across different regions to measure tightness or looseness of the garment on a wearer's body. The system monitors the tightness of the garment in real-time and identifies regions where the garment is too loose, falling below a predefined threshold. The sensors generate data indicating which specific regions of the garment are not fitting properly, allowing for adjustments to ensure a consistent fit. The system may also include a processing unit that analyzes the sensor data to determine the tightness levels and compares them against the predefined threshold to detect areas requiring adjustment. This ensures the garment maintains proper fit and comfort, addressing issues related to inconsistent or improper fit that can affect measurement accuracy or wearer comfort. The system is particularly useful in applications where precise body measurements are required, such as medical, athletic, or custom apparel fitting.
9. The tangible machine-readable storage medium of claim 8, wherein the tightness corresponds to an amount of pressure exerted by the body measurement garment on the user at the plurality of different regions.
This invention relates to body measurement garments equipped with sensors to monitor tightness or pressure exerted on a user's body at multiple regions. The system includes a garment with integrated sensors that detect pressure levels at different body areas, a processing unit that analyzes the sensor data to determine tightness, and a user interface that displays or adjusts the pressure measurements. The garment may be adjustable to modify tightness based on the detected pressure, ensuring optimal fit and comfort. The invention addresses the need for precise, real-time monitoring of garment tightness to prevent discomfort, improve performance, or ensure proper medical or athletic support. The pressure data can be used to adjust the garment automatically or provide feedback to the user for manual adjustments. The system may also include calibration mechanisms to account for variations in sensor sensitivity or user-specific pressure preferences. This technology is applicable in medical compression garments, athletic wear, or smart clothing designed for personalized fit and performance optimization.
10. The tangible machine-readable storage medium of claim 8, wherein the tightness includes an indication of one or more of the plurality of different regions of the body measurement garment that exceed a predefined threshold for tightness.
A system for analyzing body measurement garments involves a machine-readable storage medium that stores instructions for processing garment tightness data. The system captures measurements from a garment worn by a user, where the garment includes sensors that detect tightness across multiple regions. The instructions process this data to determine tightness levels for each region and compare them to predefined thresholds. If any region exceeds the threshold, the system generates an indication of the over-tightened areas. This helps users or healthcare providers identify improper fit, which can cause discomfort or health issues. The system may also display the tightness data visually, such as through color-coded regions or numerical values, to highlight areas needing adjustment. The garment may include stretchable sensors or other embedded measurement devices that dynamically adjust to the user's movements. The system ensures accurate, real-time feedback to optimize garment fit and comfort.
11. The tangible machine-readable storage medium of claim 8, wherein the tightness includes an indication of one or more of the plurality of different regions of the body measurement garment that are below a predefined threshold for looseness.
A system for analyzing body measurement garments involves a machine-readable storage medium that processes data from sensors embedded in the garment to determine tightness across multiple regions. The garment includes sensors distributed across different body regions, each generating signals indicative of fit. The storage medium executes instructions to receive these signals, analyze them to assess tightness, and identify regions where the garment is below a predefined looseness threshold. This helps detect areas that may be too tight or improperly fitted, ensuring accurate body measurements. The analysis may involve comparing sensor data against predefined thresholds or patterns to determine if specific regions meet acceptable fit criteria. The system can be used in applications like custom garment manufacturing, medical monitoring, or fitness tracking, where precise fit is critical. The storage medium may also store historical data for trend analysis or adjustments to garment design. The invention addresses the challenge of ensuring consistent and accurate fit across multiple body regions, which is essential for applications requiring precise measurements.
14. The system of claim 13, wherein the outputs correspond to a tightness of the body measurement garment on the user.
A system for monitoring the fit of a body measurement garment involves sensors integrated into the garment to detect physical parameters such as tension, stretch, or pressure. These sensors generate outputs that correlate with how tightly the garment fits on the user. The system processes these outputs to determine whether the garment is too loose, properly fitted, or too tight, providing real-time feedback to the user or an associated device. The garment may include multiple sensors distributed across different areas to ensure comprehensive monitoring of fit across the body. The system may also adjust the garment's tightness automatically or alert the user to make manual adjustments. This technology is useful in applications where precise fit is critical, such as medical garments, athletic wear, or smart clothing designed for health monitoring. The system addresses the problem of inconsistent or improper garment fit, which can affect comfort, performance, or accuracy of measurements. By providing objective data on fit, the system helps users achieve and maintain optimal garment tightness for their intended use.
15. The system of claim 14, wherein the tightness corresponds to an amount of pressure exerted by the body measurement garment on the user at a plurality of different regions of the body measurement garment worn by the user, each of the plurality of different regions corresponding to one of the plurality of sensors.
A body measurement garment system includes a garment with multiple sensors distributed across different regions of the garment. The sensors measure the tightness of the garment on a user by detecting the amount of pressure exerted at each region where the sensors are placed. The system monitors and adjusts the tightness of the garment to ensure consistent pressure distribution across the body. This helps maintain accurate body measurements and user comfort. The sensors provide real-time data on pressure levels, allowing the system to detect and respond to changes in fit due to movement, body position, or other factors. The garment may include adjustable components to modify tightness dynamically based on sensor feedback. This system is useful for applications requiring precise body measurements, such as medical monitoring, athletic performance tracking, or custom garment fitting. The sensors ensure that the garment remains snug enough to capture accurate data without causing discomfort or restricting movement.
16. The system of claim 15, wherein the tightness includes an indication of one or more of the plurality of different regions of the body measurement garment that exceed a predefined threshold for tightness.
A system for monitoring body measurement garments includes a garment with sensors distributed across multiple regions to detect tightness. The system evaluates tightness data from these sensors to determine if any regions exceed a predefined threshold, indicating excessive tightness. The system then generates an indication of which specific regions exceed the threshold, allowing for targeted adjustments to improve comfort or fit. The sensors may include strain gauges, pressure sensors, or other measurement devices embedded in the garment fabric. The system processes the sensor data to identify areas where the garment is too tight, which could cause discomfort or restrict movement. By highlighting these regions, the system helps users or caregivers adjust the garment for better fit and comfort. The tightness thresholds can be customized based on user preferences or medical requirements, ensuring the garment remains safe and effective for its intended use. This system is particularly useful in medical or athletic garments where proper fit is critical for performance or health.
17. The system of claim 16, wherein the tightness includes an indication of one or more of the plurality of different regions of the body measurement garment that are below a predefined threshold for looseness.
A body measurement garment system monitors and analyzes the fit of a garment worn by a user. The garment includes sensors distributed across multiple regions to detect tightness or looseness. The system processes sensor data to determine whether any regions of the garment are below a predefined threshold for looseness, indicating areas that may not fit properly. This helps ensure the garment maintains the desired fit and comfort. The system may also compare measurements across different regions to identify inconsistencies or areas requiring adjustment. The garment may be adjustable or designed to provide feedback to the user or a monitoring system, allowing for real-time or post-wear analysis of fit. This technology is useful in applications where precise fit is critical, such as medical garments, athletic wear, or ergonomic clothing. The system enhances user comfort and performance by dynamically assessing and addressing fit issues.
18. The system of claim 13, wherein the outputs correspond to a looseness of the body measurement garment on the user.
A system for monitoring the fit of a body measurement garment provides real-time feedback on how loosely or tightly the garment fits a user. The system includes sensors integrated into the garment that detect physical parameters such as tension, stretch, or deformation. These sensors generate signals that are processed by a computing device to determine the garment's fit. The computing device analyzes the sensor data to calculate a looseness metric, which quantifies how loosely the garment fits the user. This metric is then displayed or transmitted to a user interface, allowing the user to adjust the garment for a better fit. The system may also include calibration mechanisms to account for variations in garment material, user body shape, or environmental conditions. By continuously monitoring the fit, the system helps users maintain optimal comfort and accuracy in body measurements, which is particularly useful for applications like medical monitoring, athletic performance tracking, or custom garment fitting. The looseness output can be used to trigger alerts or adjustments, ensuring the garment remains properly fitted over time.
19. The method of claim 1, wherein each of the plurality of different regions correspond to one of the plurality of embedded sensors.
This invention relates to a system for monitoring environmental conditions using embedded sensors distributed across different regions. The problem addressed is the need for precise, localized environmental monitoring in applications such as industrial processes, agriculture, or smart infrastructure, where conditions may vary significantly across different areas. The invention provides a method for correlating sensor data with specific regions to improve accuracy and decision-making. The system includes multiple embedded sensors, each assigned to a distinct region. Each sensor collects data specific to its assigned region, such as temperature, humidity, or pressure. The method ensures that sensor readings are mapped to their corresponding regions, allowing for detailed spatial analysis. This regional mapping enables the system to detect variations in environmental conditions across different areas, facilitating targeted interventions or adjustments. The invention may also include additional features, such as data aggregation from multiple sensors, real-time monitoring, or automated alerts when conditions in a specific region exceed predefined thresholds. The regional correlation of sensor data improves the system's ability to identify localized issues, optimize resource allocation, and enhance overall monitoring efficiency. This approach is particularly useful in large-scale environments where uniform conditions cannot be assumed.
20. The tangible machine-readable storage medium of claim 8, wherein each of the plurality of different regions correspond to one of the plurality of embedded sensors.
This invention relates to a machine-readable storage medium configured to manage data from multiple embedded sensors in a system. The system includes a plurality of embedded sensors distributed across different regions of a monitored environment or device. Each sensor generates data that is processed to detect events or conditions within its corresponding region. The storage medium stores instructions that, when executed, enable the system to correlate sensor data with specific regions, ensuring accurate localization of detected events. The system may also include a processing unit that analyzes the sensor data to identify patterns, anomalies, or specific conditions, such as temperature changes, motion, or structural stress. The storage medium further supports dynamic adjustments to sensor configurations, allowing for real-time modifications based on environmental changes or operational requirements. The invention improves monitoring accuracy and efficiency by ensuring that sensor data is properly mapped to its source region, reducing errors in event detection and localization. This is particularly useful in applications like industrial monitoring, environmental sensing, or structural health assessment, where precise spatial data correlation is critical. The system may also include communication interfaces to transmit processed data to external devices or cloud-based platforms for further analysis or remote monitoring.
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September 25, 2022
April 2, 2024
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